PPOCR-ONNX Usage

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function test_http_ppocr() {
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 if (!startEnv()) {
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 loge("Automation failed to start, exiting script")
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 exit()
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 }
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 if (!image.requestScreenCapture(10000, 0)) {
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 loge("Screenshot permission failed — check background popup, overlay, etc.")
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 exit()
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 }
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 // Wait at least 1s after permission (more on slow devices) before screenshot
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 sleep(1000)
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 for (let i = 0; i < 1; i++) {
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 let img = image.captureFullScreenEx()
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 if (!img) {
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 loge("Screenshot failed")
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 sleep(1000)
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 continue
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 }
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 // paddleOcrOnnxV5 = PPOCR-V5, paddleOcrOnnxV4 = PPOCR-V4
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 let ocrType = "paddleOcrOnnxV5";
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 // padding — white border around image to improve recognition; default 10
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 let padding = 50;
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 // maxSideLen — if max edge > maxSideLen, scale down proportionally; default 0
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 let maxSideLen = 0;
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 try {
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 let url = `http://192.168.2.19:9022/devapi/ocrOnnxFile?ocrType=${ocrType}&padding=${padding}&maxSideLen=${maxSideLen}`
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 console.log(`request url ${url}`)
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 image.saveTo(img, "/sdcard/tb.png")
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 let file = {"file": "/sdcard/tb.png"}
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 console.time(1)
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 let result = http.httpPost(url, {}, file, 20 * 1000, {})
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 logd("Request time: {} ms", console.timeEnd(1))
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 if (!result) {
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 logw("No recognition result")
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 sleep(1000)
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 continue
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 }
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 logd("OCR result-> " + result)
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 result = JSON.parse(result).data;
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 for (let i = 0; i < result.length; i++) {
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 let value = result[i]
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 logd("Text: " + value.label+ " confidence: "+value.confidence + " x: " + value.x + " y: " + value.y + " width: " + value.width + " height: " + value.height)
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 }
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 sleep(1000)
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 } catch (e) {
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 logd(e)
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 } finally {
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 image.recycle(img)
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 }
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 }
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 }
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 test_http_ppocr()

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function test_http_ppocr_base() {
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 if (!startEnv()) {
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 loge("Automation failed to start, exiting script")
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 exit()
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 }
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 if (!image.requestScreenCapture(10000, 0)) {
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 loge("Screenshot permission failed — check background popup, overlay, etc.")
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 exit()
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 }
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 sleep(1000)
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 for (let i = 0; i < 1; i++) {
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 let img = image.captureFullScreenEx()
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 if (!img) {
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 loge("Screenshot failed")
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 sleep(1000)
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 continue
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 }
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 let ocrType = "paddleOcrOnnxV5";
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 let padding = 50;
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 let maxSideLen = 0;
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 try {
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 let url = `http://192.168.2.19:9022/devapi/ocrOnnxBase64`
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 console.log(`request url ${url}`)
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 let base = image.toBase64(img)
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 let data = {
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 "ocrType":ocrType,
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 "padding":padding,
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 "maxSideLen":maxSideLen,
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 "data":base,
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 }
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 console.time(1)
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 let result = http.postJSON(url, data, 20 * 1000, {})
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 logd("Request time: {} ms", console.timeEnd(1))
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 if (!result) {
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 logw("No recognition result")
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 sleep(1000)
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 continue
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 }
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 logd("OCR result-> " + result)
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 result = JSON.parse(result).data;
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 for (let i = 0; i < result.length; i++) {
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 let value = result[i]
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 logd("Text: " + value.label+ " confidence: "+value.confidence + " x: " + value.x + " y: " + value.y + " width: " + value.width + " height: " + value.height)
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 }
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 sleep(1000)
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 } catch (e) {
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 logd(e)
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 } finally {
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 image.recycle(img)
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 }
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 }
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}
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test_http_ppocr_base();